Simon X. Yang
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- Robotic Path Planning Algorithms 161
- Control and Systems Engineering top 0.2%
- Control and Dynamics of Mobile Robots 74
- Adaptive Control of Nonlinear Systems 67
- Ocean Engineering top 0.1%
- Underwater Vehicles and Communication Systems 49
- Computer Networks and Communications top 0.5%
- Distributed Control Multi-Agent Systems 63
- Aerospace Engineering top 0.2%
- Robotics and Sensor-Based Localization 68
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- Modular Robots and Swarm Intelligence 39
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- Advanced Chemical Sensor Technologies 38
Simon X. Yang
540 papers receiving 10.4k citations
Peers
Comparison fields: 5 of 184
- Computer Vision and Pattern Recognition 4.3k
- Control and Systems Engineering 3.5k
- Ocean Engineering 1.6k
- Computer Networks and Communications 2.0k
- Aerospace Engineering 2.1k
Countries citing papers authored by Simon X. Yang
This map shows the geographic impact of Simon X. Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Simon X. Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon X. Yang more than expected).
Fields of papers citing papers by Simon X. Yang
This network shows the impact of papers produced by Simon X. Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Simon X. Yang. The network helps show where Simon X. Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Simon X. Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 9 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 28 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 11 | |
| 12 | 2023 | 12 | |
| 13 | 2022 | 23 | |
| 14 | 2022 | 19 | |
| 15 | 2020 | 38 | |
| 16 | 2020 | 26 | |
| 17 | 2020 | 95 | |
| 18 | 2019 | 7 | |
| 19 | 2017 | 7 | |
| 20 | Ripe Tomato Detection for Robotic Vision Harvesting Systems in Greenhouses | 2011 | 5 |
About Simon X. Yang
Simon X. Yang is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Computer Networks and Communications, having authored 579 papers that have together received 10.9k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (161 papers), Control and Dynamics of Mobile Robots (74 papers), Robotics and Sensor-Based Localization (68 papers), Adaptive Control of Nonlinear Systems (67 papers), Distributed Control Multi-Agent Systems (63 papers), Underwater Vehicles and Communication Systems (49 papers), Modular Robots and Swarm Intelligence (39 papers) and Advanced Chemical Sensor Technologies (38 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.3k citations), Control and Systems Engineering (3.5k citations) and Ocean Engineering (1.6k citations). Simon X. Yang has collaborated with scholars based in Canada, China and Hong Kong. Frequent co-authors include Max Q.‐H. Meng, Daqi Zhu, Chaomin Luo, Anmin Zhu, Jianjun Ni, Yanrong Hu, Bing Sun, Xuzhi Lai, Allan R. Willms and Guoping Cai. Their work appears in journals such as Sensors, IEEE Transactions on Industrial Electronics, IEEE Transactions on Cybernetics, Biosystems Engineering and IEEE Transactions on Industrial Informatics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.